Extract data from

Demerle & Associates list of auctions

Turn Demerle & Associates’ Florida foreclosure auction list into a structured deal pipeline. This template scrapes each auction’s property address (full address, city, state) and sale date/time into a table you can sort, analyze, enrich, and send to Google Sheets, Airtable, Notion, or your CRM—ideal for real estate investors, brokers, and acquisition teams tracking courthouse sales across Florida.

Website to scrape
Demerle & Associates list of auctions
Export
CSV
Google Sheets
Airtable
Notion
Data to extract
Address, Full address, City, State, Date, Time
Premium
More about this Scraper Template

Who it’s for: Florida-focused real estate investors, acquisition analysts, wholesalers, and brokers who track courthouse sales and need clean, timely data from Demerle & Associates’ foreclosure auctions page. This scraper captures the property address (including full address, city, and state) alongside the auction date and time, making it easy to monitor upcoming sales, plan due diligence, and prioritize high-potential opportunities.

How you’ll use it: Export auction lists to Sheets, Airtable, Notion, or your CRM; then enrich records, pull comps, estimate ARV, and calculate target bids with custom computations. Use AI to summarize neighborhoods, flag hot zones, and generate quick notes for team handoff. Set reminders ahead of sale dates, filter by city, and deduplicate against your existing pipeline to stay organized and ready for Florida foreclosure auctions.

This template is maintained and updated by Bardeen to reflect website changes, ensuring reliable, high-quality data you can trust for your foreclosure auction workflows.

What to do after you scraped data from a website

With Bardeen, you can do much more than just web scraping. After extracting data from any website, use Bardeen’s powerful automation tools to validate and enrich your data, run additional scrapers on linked pages, or leverage AI to qualify leads and generate content automatically. Once your data is ready, you can easily export it to CSV, Google Sheets, Airtable, or Notion for further analysis and reporting.

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